Method(olog)ische Grundlagen der Statistik und ihre Anwendungen
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Technical Reports

  • Paul Fink. imptree: Classification Trees with Imprecise Probabilities, 2018. R package version 0.5.1.
  • Paul Fink and Eva Endres. impimp: Imprecise Imputation for Statistical Matching, 2018. R package version 0.3.0.
  • Eva Endres, Paul Fink, and Thomas Augustin. Imprecise imputation for statistical matching. Poster presentation, 2017. ISIPTA '17: Tenth International Symposium on Imprecise Probability: Theories and Applications.
  • Paul Fink and Gero Walter. Updated and extended network analysis of the imprecise probability community based on ISIPTA electronic proceedings. Poster presentation, 2017. ISIPTA '17: Tenth International Symposium on Imprecise Probability: Theories and Applications.
  • Eva Endres and Thomas Augustin. Probabilistic graphical models for statistical matching. Poster presentation, 2015. ISIPTA '15: Ninth International Symposium on Imprecise Probability: Theories and Applications.
  • Thomas Augustin, Gero Walter, and Frank P. A. Coolen. Statistical inference. In Thomas Augustin, Frank P. A. Coolen, Gert de Cooman, and Matthias C. M. Troffaes, editors, Introduction to Imprecise Probabilities, pages 135–189. Wiley, 2014.
  • Eva Endres. Pre-validation for assessing the added predictive value of high-dimensional molecular data in binary classification. Master's thesis, LMU Munich, 2014.
  • Julia Kopf, Thomas Augustin, and Carolin Strobl. The potential of model-based recursive partitioning in the social sciences — Revisiting Ockham's Razor. In John McArdle and Gilbert Ritschard, editors, Contemporary Issues in Exploratory Data Mining, pages 75–95. Routledge, New York, 2013.
  • Julia Plaß. Coarse categorical data under epistemic and ontologic uncertainty: Comparison and extension of some approaches. Master's thesis, LMU Munich, 2013.
  • Paul Fink. Ensemble methods for classification trees under imprecise probabilities. Master's thesis, LMU Munich, 2012.
  • Gero Walter and Thomas Augustin. Bayesian linear regression — different conjugate models and their (in)sensitivity to prior-data conflict. In Thomas Kneib and Gerhard Tutz, editors, Statistical Modelling and Regression Structures, Festschrift in Honour of Ludwig Fahrmeir, pages 59–78. Springer, 2010.
  • Thomas Augustin and Robert Hable. On the impact of robust statistics on imprecise probability models: a review. In Hitoshi Furuta, Dan Mircea Frangopol, and Masanobu Shinozuka, editors, Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems. Proceedings of ICOSSAR2009 (The 10th International Conference on Structural Safety and Reliability, Osaka). Taylor and Francis, 2009.
  • Andrea Wiencierz. Arthur P. Dempster's generalized inference theory: Theoretical foundations, extensions and modern applications. Master's thesis, LMU Munich, 2009.
  • Thomas Augustin. Statistik. In Sina Farzin and Stefan Jordan, editors, Lexikon Soziologie und Sozialtheorie. Hundert Grundbegriffe, pages 281–284. Reclam Verlag, Stuttgart, 2008.
  • Thomas Augustin. Tribute to Pauline Coolen-Schrijner. Journal of Risk and Reliability, 222(4):i–ii, 2008.
  • Thomas Augustin. Tribute to Pauline Coolen-Schrijner. SIPTA Newsletter, 12/08, 2008.
  • Thomas Augustin, Angela Döring, and David Rummel. Regression calibration for Cox regression under heteroscedastic measurement error — Determining risk factors of cardiovascular diseases from error-prone nutritional replication data. In Christian Heumann and Shalabh, editors, Recent Advances in Linear Models and Related Areas, Essays in Honour of Helge Toutenburg, pages 253–278. Physika Verlag, Heidelberg, 2008.
  • Gero Walter. The normal regression model as a LUCK-model. Discussion Paper, 2007.
  • Gero Walter. Sketch of an alternative approach to linear regression analysis under sets of conjugate priors. Discussion Paper, 2007.
  • Thomas Augustin and Carolin Strobl. Book review: Interactive statistics for the behavioral sciences by Pepper Williams. Biometrics, 62:625–626, 2006.
  • Ralf Bender, Thomas Augustin, and Maria Blettner. Letter to the editor: Generating survival times to simulate Cox proportional hazards models — by Ralf Bender, Thomas Augustin and Maria Blettner, Statistics in Medicine 2005; 24 : 1713–1723. Statistics in Medicine, 25(11):1978–1979, 2006.
  • Gero Walter. Robuste Bayes-Regression mit Mengen von Prioris — Ein Beitrag zur Statistik unter komplexer Unsicherheit. Master's thesis, LMU Munich, 2006.
  • Anneke Neuhaus, Martin Daumer, Ludwig Kappos, Thomas Augustin, and Helmut Küchenhoff. Modelling time to progression in multiple sclerosis regarding the error in the response variable. Multiple Sclerosis, 10(7032, Suppl. 2):99, 2004.
  • Lev Utkin and Thomas Augustin. Fuzzy decision making using the imprecise Dirichlet model. In Proceedings of the International Conference on Fuzzy Sets and Soft Computing in Economics and Finance, pages 186–193, Mexican Petroleum Institute. St. Petersburg, 2004.
  • Lev Utkin and Thomas Augustin. Risk analysis on the basis of partial information about quantiles. In Solojentsev Evgueni, editor, Modelling and Analysis of Safety and Risk in Complex Systems (Proceedings of the Third International Scientific School MA SR 2003), pages 172–178, St. Petersburg, 2003. Institute of Problems of Mechanical Engineering of Russian Academy of Science (IMPE RAS).
  • Thomas Augustin. Survival Analysis under Measurement Error. Post-doctoral Thesis. Department of Statistics, University of Munich (LMU) (172 pages), 2002.
  • Sigrid Pöhlmann and Thomas Augustin. A Kiefer-Weiss optimal sequential sign test — Some considerations on a bioequivalence problem from the viewpoint of quality management. In Joachim Kunert and Götz Trenkler, editors, Mathematical Statistics with Applications in Biometry (Festschrift for Siegfried Schach), pages 179–188. Josef Eul, Köln, 2001.
  • Kurt Weichselberger. Elementare Grundbegriffe einer allgemeineren Wahrscheinlichkeitsrechnung I — Intervallwahrscheinlichkeit als umfassendes Konzept. Physika, Heidelberg, 2001. (unter Mitarbeit von T. Augustin und A. Wallner), Seiten: 684 + xiv.
  • Thomas Augustin. Interval probability — towards a more comprehensive mathematical modeling of uncertainty. In Stefan Maksay, editor, Analele Facultatii de Inginerie din Hunedoara, pages 143–147. University of Hunedoara, 1999.
  • Thomas Augustin. Quasi-likelihood based correction for measurement error in accelerated failure time models. In Herwig Friedl, Andrea Berghold, and Göran Kauermann, editors, Statistical Modelling. Proceedings of the 14th International Workshop on Statistical Modelling, pages 421–424. l, 1999.
  • Thomas Augustin. Intervallwahrscheinlichkeit als geschlossene Methodologie zur Behandlung unsicheren Wissens. In Françoise Bry and Slim Abdennadher, editors, Tag der Informatik '96, pages 1–13. Institut für Informatik. Universität München, München, 1996.
  • Thomas Augustin. Zur Schätzung von Baselinefunktionen in semiparametrischen Lebensdauermodellen, 1992. Diplomarbeit, Institut für Statistik. Universität München.
  • Thomas Augustin and Siegfried Lamnek. Lebensbedingungen und Infrastruktur der Gemeinde Ottobrunn, 1991. Institut für Soziologie. Universität München.